Metadata-Version: 2.1
Name: augpy
Version: 1.0.0a1
Summary: Lightweight CUDA tensor functions with a focus on image data augmentation.
Home-page: UNKNOWN
Author: Joachim Folz
Author-email: joachim.folz@dfki.de
License: MIT
Project-URL: Documentation, https://gitlab.com/jfolz/augpy/blob/master/README.rst
Project-URL: Source, https://gitlab.com/jfolz/augpy
Project-URL: Tracker, https://gitlab.com/jfolz/augpy/issues
Description: augpy
        =====
        
        augpy is a lightweight library with minimal dependencies that
        provides CUDA tensor functions with a focus on image data
        augmentation.
        It uses the `dlpack <https://github.com/dmlc/dlpack>`_
        standard to export tensors to other libraries, such as
        Pytorch, with zero copying.
        
        
        
        Building
        --------
        
        Make sure you have the following installed.
        
        - Compiler with C++14 support (e.g. GCC 5)
        - Cuda 10 or higher
        - Cmake 3.13 or higher
        - setuptools>=44.0.0
        - wheel>=0.34.0
        - pybind11>=2.4.3
        - numpy>=1.15.0
        
        Now simply run ``setup.py`` as normal to build the wheel and install with pip.
        
        ::
        
            python setup.py bdist_wheel
        
        
        
        Usage
        -----
        
        TODO
        
        
        
        Changelog
        ---------
        
        1.0.0a1
        ~~~~~~~
        
        - WIP
        
Keywords: CUDA tensor math data augmentation image affine warp transform gaussian blur gamma correction
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: License :: OSI Approved :: MIT License
Description-Content-Type: text/x-rst; charset=UTF-8
